Earticle

Objectives: The purpose of this study was to identify the major influencing factors of breast cancer death and to suggest policy measures to promote the health of breast cancer patients. Methods: The method of this study performed statistical analysis by applying weights to 2,300 cases of breast cancer registration statistics in Korea collected in 2018 due to the relatively small number of mortality data compared to survival. Statistical processing of the collected data was analyzed using SPSS 26.0. Results: The epidemiologic characteristics of death in breast cancer patients were 31.8% in those aged 70 years or older, and the mortality rate was 5.25 times higher in patients aged 70 years or older than those aged 39 years or younger. The anatomical site code was 36.4% in C50.4~C50.6, and the mortality rate was 1.82 times higher in C50.4~C50.6 than in C50.0~C50.1. The tumor size was 40.4% and larger than 4cm, and the mortality rate was 4.53 times higher in tumors larger than 4cm than those smaller than 1cm. The degree of differentiation was 13.9% in the poorly differentiated group, and the mortality rate was 4.38 times higher in the poorly differentiated group than in the highly differentiated group. In the hormone receptor test, non-triple negative cases were 59.6%, and the mortality rate was 0.57 times lower in non-triple negative cases than in triple negative cases. As for lymph node involvement, the presence or absence of lymph node involvement was 78.8%, and the mortality rate with lymph node involvement was 1.36 times higher than that without lymph node involvement. The survival period of 13 to 24 months was the highest at 26.5%, and the average survival period was 25.68 months (±14.830). Conclusion: A policy to advance the timing of national health examinations for early detection of breast cancer is necessary. In addition, a bill for the mandatory placement of health educators in medical institutions for patients with special diseases such as breast cancer should be prepared.

Objectives: The purpose of this study is to identify differences in fear of COVID-19 according to types of positive mental health in college students, and to verify the moderating effect of mental well-being in the relationship between mental disorders and fear of COVID-19. Methods: The results of 1,542 college students’ responses to the COVID-19 Fear Scale, Korean Mental Disorder Scale, and Korean Mental Health Scale were analyzed. According to the presence of mental disorders and the level of mental well-being (high, medium, and low) of the participants which were assessed by the Korean Mental Disorder Scale and the Korean Mental Health Scale, participants were classified into five mental health groups. And the difference in fear of COVID-19 between groups was identified by one-way ANOVA. In addition, it was identified whether the moderating effect of mental well-being was significant in the relationship between mental disorders and fear of COVID-19 using hierarchical regression analysis. Results: When participants were classified by positive mental health types, the flourish group had significantly lower fear of COVID-19 than the moderate mental health group and the languishing group. The moderating effect of mental well-being was significant in the relationship between mental disorder and fear of COVID-19. Additionally, the reducing effect of mental well-being upon fear of COVID-19 was greater when the severity of mental disorder was lower. Conclusions: Basically, in the case of groups with mental disorders, efforts to reduce mental disorders should be given first and foremost. In contrast, for groups without mental disorders, psychological interventions to raise levels of mental well-being are likely to help reduce fear of COVID-19.

Objectives: This study aimed to confirm the degree of health consciousness, health self-efficacy, self-care agency of nursing students and the factors that affect health promoting behaviors. Methods: From June 7 to June 20 in 2022, the structured questionnaire was used for 255 nursing students. Data were analyzed by descriptive analysis, mean comparison(t-test, ANOVA), correlation analysis(Pearson's correlation coefficient) and multiple regression using SPSS/WIN 25.0. Results: The health promoting behaviors had positive correlations with health consciousness, health self-efficacy, and self-care agency. And the prediction factors influencing health promoting behaviors were health self-efficacy(β=.40), health consciousness(β=.19), age over 40 (β=-.23, p<.001), exercise six times a week or more(β=.22, p=<.001), and having breakfast six times a week or more(β=.11, p=.025). The explanatory power on health promoting behaviors from these variables was 53%(F=20.72, p<.001). Conclusions: In order to improve the health promoting behaviors of nursing students, various ways to increase the active changes should be sought, and program should be prepared to improve their health promotion behaviors in the future.

Objectives: The aim of this study was to identify risk factors of alcohol use disorder among Korean adults. Methods: Cross-sectional exploratory study based on data collected from Data from the 6th Korea National Health and Nutrition Examination Survey in 2015 were performed in this study. There were 3,248 participants who were 2,558 normal drinkers while 690 had alcohol use disorder. Decision tree analysis were used to exam socio-demographic and health-related factors to predict alcohol use disorder. Results: As a result of decision tree analysis, the predictive model for factors related to alcohol use disorder in Korean adults presented with 8 pathways. The significant predictors of alcohol use disorder were age, gender, smoking, marital status, and house income. Male smokers whose household income is ‘high’ or ‘low’ are most vulnerable to alcohol use disorders. Conclusions: This study indicates that need to consider health behavior and house income when we practice prevention policies and health education of alcohol use disorder.